Data Science Intern

Faire

6d • Hybrid

About The Position

Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for search, personalization, recommender systems, and ranking. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.
At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
We have a few openings in the Data organization available
Search: Experience working with GenAI and LLMs for search optimization, query understanding, retrieval and ranking.

Personalization: Experience with personalizing recommendation surfaces through embeddings, near-real-time streaming signals, explore-exploit and diversification.
Retailer Growth: Experience developing machine learning solutions to drive growth through paid marketing bidding, targeting efficiency and sitemap optimization preferred.
Retailer Products: Experience with predictive modeling, Redshift and Mode Analytics preferred
We're looking for folks with experience working on projects related to the fields above and who are eager to wake up ready to take a problem end-to-end, dive into our information-rich databases, and produce actionable insights.
Our internships are paid and 12-to-14 weeks in duration. We have flexible start dates and are open to extending internship durations based on need and mutual fit.

Requirements

• We are open to currently enrolled Master’s & PhD students and recent Master’s & PhD graduates, who have an academic focus in Computer Science, Operations Research, Statistics, Econometrics or a related technical field
• Hands on experience with real datasets and familiarity using python, sklearn, numpy, pandas, and SQL
• Familiarity with various machine learning techniques and statistical methodologies (Bayesian methods, experimental design, causal inference)

Nice To Haves

• A track record of developing end-to-end Data Science projects and/or producing academic papers that have been showcased in top journals or conferences

Responsibilities

• Define, plan and execute cutting-edge machine learning or other new algorithms that will be a/b tested with guidance from a manager or technical lead
• Communicate project objectives and results clearly, both within the group as well as to the broader team
• Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success

Benefits

• Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
• Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

What This Job Offers

• Career Level: Intern
• Number of Employees: 1,001-5,000 employees